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WHONET/EARS-Net support
2019-01-29 00:06:50 +01:00
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<h1>How to work with WHONET data</h1>
<h4 class="author">Matthijs S. Berends</h4>
memory for as.mo()
2019-03-15 13:57:25 +01:00
<h4 class="date">15 March 2019</h4>
WHONET/EARS-Net support
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<div class="hidden name"><code>WHONET.Rmd</code></div>
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freq update
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<div id="import-of-data" class="section level1">
<h1 class="hasAnchor">
<a href="#import-of-data" class="anchor"></a>Import of data</h1>
<p>This tutorial assumes you already imported the WHONET data with e.g. the <a href="https://readxl.tidyverse.org/"><code>readxl</code> package</a>. In RStudio, this can be done using the menu button ‘Import Dataset’ in the tab ‘Environment’. Choose the option ‘From Excel’ and select your exported file. Make sure date fields are imported correctly.</p>
<p>An example syntax could look like this:</p>
benchmarks plots
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<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(readxl)</a>
<a class="sourceLine" id="cb1-2" title="2">data &lt;-<span class="st"> </span><span class="kw"><a href="https://readxl.tidyverse.org/reference/read_excel.html">read_excel</a></span>(<span class="dt">path =</span> <span class="st">"path/to/your/file.xlsx"</span>)</a></code></pre></div>
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<p>This package comes with an <a href="./reference/WHONET.html">example data set <code>WHONET</code></a>. We will use it for this analysis.</p>
</div>
<div id="preparation" class="section level1">
<h1 class="hasAnchor">
<a href="#preparation" class="anchor"></a>Preparation</h1>
<p>First, load the relevant packages if you did not yet did this. I use the tidyverse for all of my analyses. All of them. If you don’t know it yet, I suggest you read about it on their website: <a href="https://www.tidyverse.org/" class="uri">https://www.tidyverse.org/</a>.</p>
benchmarks plots
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<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(dplyr) <span class="co"># part of tidyverse</span></a>
<a class="sourceLine" id="cb2-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(ggplot2) <span class="co"># part of tidyverse</span></a>
<a class="sourceLine" id="cb2-3" title="3"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(AMR) <span class="co"># this package</span></a></code></pre></div>
freq update
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<p>We will have to transform some variables to simplify and automate the analysis:</p>
<ul>
mo codes for WHONET
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<li>Microorganisms should be transformed to our own microorganism IDs (called an <code>mo</code>) using <a href="./reference/ITIS.html">the ITIS reference data set</a>, which contains all ~20,000 microorganisms from the taxonomic kingdoms Bacteria, Fungi and Protozoa. We do the tranformation with <code><a href="../reference/as.mo.html">as.mo()</a></code>. This function also recognises almost all WHONET abbreviations of microorganisms.</li>
freq update
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<li>Antimicrobial results or interpretations have to be clean and valid. In other words, they should only contain values <code>"S"</code>, <code>"I"</code> or <code>"R"</code>. That is exactly where the <code><a href="../reference/as.rsi.html">as.rsi()</a></code> function is for.</li>
</ul>
benchmarks plots
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<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" title="1"><span class="co"># transform variables</span></a>
<a class="sourceLine" id="cb3-2" title="2">data &lt;-<span class="st"> </span>WHONET <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb3-3" title="3"><span class="st"> </span><span class="co"># get microbial ID based on given organism</span></a>
<a class="sourceLine" id="cb3-4" title="4"><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">mo =</span> <span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(Organism)) <span class="op">%&gt;%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-5" title="5"><span class="st"> </span><span class="co"># transform everything from "AMP_ND10" to "CIP_EE" to the new `rsi` class</span></a>
memory for as.mo()
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<a class="sourceLine" id="cb3-6" title="6"><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span>(<span class="kw"><a href="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span>(AMP_ND10<span class="op">:</span>CIP_EE), as.rsi)</a></code></pre></div>
freq update
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<p>No errors or warnings, so all values are transformed succesfully. Let’s check it though, with a couple of frequency tables:</p>
benchmarks plots
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<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1"><span class="co"># our newly created `mo` variable</span></a>
<a class="sourceLine" id="cb4-2" title="2">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(mo, <span class="dt">nmax =</span> <span class="dv">10</span>)</a></code></pre></div>
<p><strong>Frequency table of <code>mo</code> from a <code>data.frame</code> (500 x 54)</strong></p>
<p>Class: <code>mo</code> (<code>character</code>)<br>
freq fix
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Length: 500 (of which NA: 0 = 0.00%)<br>
memory for as.mo()
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Unique: 37</p>
<p>Families: 10<br>
Genera: 17<br>
Species: 35</p>
freq update
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<table class="table">
<thead><tr class="header">
<th align="left"></th>
<th align="left">Item</th>
<th align="right">Count</th>
<th align="right">Percent</th>
<th align="right">Cum. Count</th>
<th align="right">Cum. Percent</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">1</td>
<td align="left">B_ESCHR_COL</td>
as.rsi warning, site update
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<td align="right">245</td>
<td align="right">49.0%</td>
<td align="right">245</td>
<td align="right">49.0%</td>
freq update
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</tr>
<tr class="even">
<td align="left">2</td>
memory for as.mo()
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<td align="left">B_STPHY</td>
as.rsi warning, site update
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<td align="right">74</td>
<td align="right">14.8%</td>
<td align="right">319</td>
<td align="right">63.8%</td>
freq update
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</tr>
<tr class="odd">
<td align="left">3</td>
as.rsi warning, site update
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<td align="left">B_STPHY_EPI</td>
<td align="right">38</td>
<td align="right">7.6%</td>
<td align="right">357</td>
<td align="right">71.4%</td>
freq update
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</tr>
<tr class="even">
<td align="left">4</td>
Catalogue of Life, replaces ITIS
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<td align="left">B_STRPT_PNE</td>
freq update
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<td align="right">31</td>
<td align="right">6.2%</td>
as.rsi warning, site update
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<td align="right">388</td>
<td align="right">77.6%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">B_STPHY_HOM</td>
<td align="right">21</td>
<td align="right">4.2%</td>
<td align="right">409</td>
<td align="right">81.8%</td>
freq update
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</tr>
<tr class="even">
<td align="left">6</td>
as.rsi warning, site update
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<td align="left">B_PROTS_MIR</td>
<td align="right">9</td>
<td align="right">1.8%</td>
<td align="right">418</td>
<td align="right">83.6%</td>
freq update
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</tr>
<tr class="odd">
<td align="left">7</td>
as.rsi warning, site update
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<td align="left">B_ENTRC_IUM</td>
<td align="right">8</td>
<td align="right">1.6%</td>
<td align="right">426</td>
<td align="right">85.2%</td>
freq update
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</tr>
<tr class="even">
<td align="left">8</td>
as.rsi warning, site update
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<td align="left">B_STPHY_CAP</td>
<td align="right">8</td>
<td align="right">1.6%</td>
<td align="right">434</td>
<td align="right">86.8%</td>
freq update
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</tr>
<tr class="odd">
<td align="left">9</td>
memory for as.mo()
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<td align="left">B_STRPT</td>
<td align="right">8</td>
<td align="right">1.6%</td>
<td align="right">442</td>
<td align="right">88.4%</td>
freq update
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</tr>
<tr class="even">
<td align="left">10</td>
memory for as.mo()
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<td align="left">B_ENTRB_CLO</td>
<td align="right">5</td>
<td align="right">1.0%</td>
<td align="right">447</td>
<td align="right">89.4%</td>
freq update
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</tr>
</tbody>
</table>
memory for as.mo()
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<p>(omitted 27 entries, n = 53 [10.6%])</p>
benchmarks plots
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<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1"></a>
<a class="sourceLine" id="cb5-2" title="2"><span class="co"># our transformed antibiotic columns</span></a>
<a class="sourceLine" id="cb5-3" title="3"><span class="co"># amoxicillin/clavulanic acid (J01CR02) as an example</span></a>
<a class="sourceLine" id="cb5-4" title="4">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(AMC_ND2)</a></code></pre></div>
<p><strong>Frequency table of <code>AMC_ND2</code> from a <code>data.frame</code> (500 x 54)</strong></p>
<p>Class: <code>factor</code> &gt; <code>ordered</code> &gt; <code>rsi</code> (<code>numeric</code>)<br>
as.rsi warning, site update
2019-02-09 22:16:24 +01:00
Length: 500 (of which NA: 19 = 3.80%)<br>
benchmarks plots
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Levels: 3: <code>S</code> &lt; <code>I</code> &lt; <code>R</code><br>
freq fix
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Unique: 3</p>
benchmarks plots
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<p>%IR: 25.00% (ratio 2.8:1)</p>
freq update
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<table class="table">
<thead><tr class="header">
<th align="left"></th>
<th align="left">Item</th>
<th align="right">Count</th>
<th align="right">Percent</th>
<th align="right">Cum. Count</th>
<th align="right">Cum. Percent</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">1</td>
<td align="left">S</td>
as.rsi warning, site update
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<td align="right">356</td>
<td align="right">74.0%</td>
<td align="right">356</td>
<td align="right">74.0%</td>
freq update
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</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">R</td>
as.rsi warning, site update
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<td align="right">103</td>
<td align="right">21.4%</td>
<td align="right">459</td>
<td align="right">95.4%</td>
freq update
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</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">I</td>
<td align="right">22</td>
as.rsi warning, site update
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<td align="right">4.6%</td>
<td align="right">481</td>
freq update
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<td align="right">100.0%</td>
</tr>
</tbody>
</table>
</div>
<div id="analysis" class="section level1">
<h1 class="hasAnchor">
<a href="#analysis" class="anchor"></a>Analysis</h1>
<p><em>(more will be available soon)</em></p>
</div>
WHONET/EARS-Net support
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freq update
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<h2 class="hasAnchor">
<a href="#tocnav" class="anchor"></a>Contents</h2>
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<li><a href="#import-of-data">Import of data</a></li>
<li><a href="#preparation">Preparation</a></li>
<li><a href="#analysis">Analysis</a></li>
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WHONET/EARS-Net support
2019-01-29 00:06:50 +01:00
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